At a Glance
- Tasks: Lead data architecture projects and design innovative data models for enterprise needs.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Contract role with hybrid working; ideal for proactive data enthusiasts.
- Why this job: Make a real impact by shaping data strategies and governance in a dynamic environment.
- Qualifications: 12+ years in data architecture with strong Oracle database skills.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced Data Architect for a contract engagement based in the UK. This is a senior role for someone who brings a strong breadth of data architecture capability — from enterprise data strategy and data modelling through to data governance and platform design — and who can operate effectively across both business and technical domains.
The successful candidate will have a solid background in relational database technology, with particularly strong hands-on experience in Oracle, gained through a career rooted in data and application development. They will be expected to lead with data thinking, bring structure and rigour to complex data challenges, and deliver architecture that is pragmatic, scalable, and fit for purpose.
Key Responsibilities- Enterprise Data Architecture
- Define and evolve the enterprise data architecture, ensuring it supports current business needs and longer-term strategic objectives.
- Design conceptual, logical, and physical data models across OLTP, analytical, and hybrid workloads.
- Establish data architecture standards, reusable patterns, and best practices across the data estate.
- Lead architecture reviews and assessments, identifying risks, technical debt, and opportunities for improvement.
- Produce clear, well-structured architecture artefacts: ERDs, data flow diagrams, data dictionaries, and architecture decision records.
- Data Modelling & Data Design
- Design and govern complex relational data models — both normalised and denormalised — appropriate to the workload and performance requirements.
- Develop dimensional models (star schema, snowflake) to support reporting, analytics, and data warehousing needs.
- Define master data structures, reference data frameworks, and data lineage across interconnected systems.
- Work alongside development and analytics teams to ensure data models translate correctly into implementation.
- Data Strategy & Governance
- Contribute to and help shape the organisation's broader data strategy, including data platform evolution and data quality improvement programmes.
- Define and embed data governance standards: ownership, lineage, classification, naming conventions, and retention policies.
- Ensure data architecture decisions support data security, privacy, and regulatory compliance requirements.
- Champion data quality at the design stage, embedding controls and validation into data architecture from the outset.
- Technical Depth & Delivery
- Apply strong relational database expertise — particularly in Oracle — to validate, review, and guide technical implementation of data solutions.
- Bring working knowledge of SQL and PL/SQL to architecture reviews, performance discussions, and data design validation.
- Advise development teams on data access patterns, query performance, indexing strategy, and efficient data processing approaches.
- Support integration design by defining clean, well-governed data interfaces between systems and platforms.
- Stakeholder Engagement & Communication
- Engage confidently with senior business and technology stakeholders, translating data requirements into architecture recommendations.
- Present data architecture proposals and decisions clearly, adapting communication style to technical and non-technical audiences alike.
- Collaborate with project managers, solution architects, data engineers, and business analysts across the delivery lifecycle.
- Act as a trusted adviser on data matters, providing guidance that balances strategic vision with practical delivery constraints.
- 12+ years of experience in data architecture, data modelling, or closely related disciplines.
- Strong enterprise data modelling skills — logical, physical, relational, and dimensional across OLTP and analytical domains.
- Solid data governance experience: lineage, metadata management, data quality frameworks, and classification.
- Proven track record of defining and delivering data architecture in large, complex enterprise environments.
- Strong hands-on experience with Oracle database technology, including PL/SQL, query optimisation, and data design.
- Good understanding of Oracle internals — execution plans, indexing, partitioning, and performance considerations — sufficient to guide and validate development teams.
- Experience producing high-quality architecture documentation and presenting to senior stakeholders.
- Excellent communication and stakeholder management skills across technical and business audiences.
- Familiarity with data warehousing methodologies and patterns (Kimball, Inmon, Data Vault).
- Exposure to data catalogue or metadata management tooling (e.g., Collibra, Informatica, or similar).
- Knowledge of cloud data platforms and hybrid data architecture approaches.
- Awareness of integration patterns and data exchange design (e.g., API-led, event-driven, or batch).
- Experience in Agile or SAFe delivery environments.
- A natural data thinker — someone who instinctively approaches problems through the lens of data structure, flow, and quality.
- Technically credible and confident engaging with development teams, while equally comfortable at the strategic level.
- Pragmatic and delivery-oriented — able to balance architectural ideals with the practical realities of a fixed-term engagement.
- Self-sufficient and proactive; able to make an immediate contribution with minimal onboarding.
- Strong collaborator with the interpersonal skills to align stakeholders and teams around shared data decisions.
This is a contract role for a fixed duration of 5 months, based in the UK. A hybrid working arrangement may be available. Candidates must hold the right to work in the United Kingdom and be available to commence at short notice.
Note: This role requires a Data Architect with genuine breadth across data strategy, modelling, and governance, supported by strong hands-on Oracle and relational database experience.
Data Architect in London employer: Experion Technologies
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Architect will be recognised and rewarded. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to shape the enterprise data architecture in a supportive environment. Located in the UK, this role provides the flexibility of hybrid working arrangements, allowing you to balance professional and personal commitments while contributing to impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. You never know who might have the inside scoop on a Data Architect role that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data architecture projects. Include diagrams, models, and any documentation you’ve produced. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge, especially around Oracle and data governance. Be ready to discuss your past experiences and how they relate to the job. Practice explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in data architecture, especially with Oracle. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing candidates who can connect their past experiences to our needs, so be specific about how you can contribute to our data strategy.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise, especially in SQL and PL/SQL. We’re looking for someone who can dive deep into data challenges, so make sure to mention any hands-on experience you have with relational databases and data modelling.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Experion Technologies
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data architecture, especially around Oracle databases. Be ready to discuss your hands-on experience with PL/SQL and how you've tackled complex data challenges in the past. This will show that you’re not just familiar with the theory but have practical skills to back it up.
✨Prepare Your Architecture Artefacts
Bring along examples of your previous work, like ERDs, data flow diagrams, or architecture decision records. Being able to showcase your ability to produce clear and structured documentation will impress interviewers and demonstrate your attention to detail.
✨Engage with Stakeholders
Practice how you would communicate technical concepts to non-technical stakeholders. You might be asked to explain your data architecture decisions, so being able to adapt your communication style is key. Think about how you can make complex ideas accessible and relatable.
✨Show Your Strategic Thinking
Be prepared to discuss how you would contribute to the organisation's broader data strategy. Think about examples where you've defined data governance standards or improved data quality. This will highlight your ability to think strategically while also being pragmatic in your approach.
